Work

Aorta localization in Computed Tomography images: A YoloV9 segmentation approach

Year: 2024

Type: conference-paper

Source: South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)

DOI: 10.1109/seeda-cecnsm63478.2024.00037

Authors: Panagiotis N. Smyrlis, Gabriela R. Stancu, Foteini Dimaraki, Aimilia Ntetska, Thomai Karamitsou, Katerina D. Tzimourta, Markos G. Tsipouras, Pantelis Angelidis

Institution: University of Western Macedonia

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4403920040

FWCI: 0.211

Cites: 10

Cited by: 1

Related to: 10